Table of Contents

Overview

XXX from the XXX Research Team is looking to engage in consultation with the Telethon Kids Institute’s Biometrics team to undertake statistical analysis to determine brief project summary.

Study overview to put the analysis in context - copy from the analysis plan.

Research Questions

  1. Research Question 1
  2. Research Question 2

Summary of Findings

Brief paragraph(s) that could be copy/pasted by the researcher into a manuscript, more detailed analysis is provided in the ā€œcommentaryā€ section below.

Research Question 1

Tables

Iris Data
(Intercept) 2.25 ***
CI [1.52, 2.98]   
Sepal.Width 0.80 ***
CI [0.59, 1.01]   
Speciesversicolor 1.46 ***
CI [1.24, 1.68]   
Speciesvirginica 1.95 ***
CI [1.75, 2.14]   
N 150       
R2 0.73    
*** p < 0.001; ** p < 0.01; * p < 0.05.

Figures

Raw Data

Model Outcomes

Notes

  • Linear regression (R Core Team 2019)
    • yā€„āˆ¼ā€„mx + b
  • The reported effect estimates have not been exponentiated
  • Effect estimates, 95% confidence intervals that include 0 indicated there was insufficient evidence to establish statistical significance
  • Key observations…
    • 0.80 (95% CI: 0.59 to 1.01)

Conclusion

One or 2 sentences to summarise the analysis of Research Question 1.

Research Question 2

Tables

Iris Data
(Intercept) 2.25 ***
CI [1.52, 2.98]   
Sepal.Width 0.80 ***
CI [0.59, 1.01]   
Speciesversicolor 1.46 ***
CI [1.24, 1.68]   
Speciesvirginica 1.95 ***
CI [1.75, 2.14]   
N 150       
R2 0.73    
*** p < 0.001; ** p < 0.01; * p < 0.05.

Figures

Raw Data

Model Outcomes

Notes

  • Linear regression (R Core Team 2019)
    • yā€„āˆ¼ā€„mx + b
  • The reported effect estimates have not been exponentiated
  • Effect estimates, 95% confidence intervals that include 0 indicated there was insufficient evidence to establish statistical significance
  • Key observations…
    • 0.80 (95% CI: 0.59 to 1.01)

Conclusion

One or 2 sentences to summarise the analysis of Research Question 2.

Commentary

Detailed description of analysis outcomes that the project sponsor can use to copy into their report/manuscript.

End Matter

Reproducible Research Information

This document was prepared using the software R (R Core Team 2019), via the RStudio IDE (RStudio Team 2016), and was written in RMarkdown (Allaire et al. 2019).

sessionInfo()
## R version 3.6.1 (2019-07-05)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 8.1 x64 (build 9600)
## 
## Matrix products: default
## 
## locale:
## [1] LC_COLLATE=English_Australia.1252  LC_CTYPE=English_Australia.1252   
## [3] LC_MONETARY=English_Australia.1252 LC_NUMERIC=C                      
## [5] LC_TIME=English_Australia.1252    
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] rmarkdown_1.16        captioner_2.2.3       jtools_2.0.1         
##  [4] GGally_1.4.0          broom_0.5.2           kableExtra_1.1.0     
##  [7] knitr_1.25            biometrics_1.0.4-999  ProjectTemplate_0.9.0
## [10] lubridate_1.7.4       forcats_0.4.0         stringr_1.4.0        
## [13] tibble_2.1.3          purrr_0.3.2           readr_1.3.1          
## [16] tidyr_1.0.0           dplyr_0.8.3           ggplot2_3.2.1        
## [19] repmis_0.5           
## 
## loaded via a namespace (and not attached):
##  [1] ggstance_0.3.3     tidyselect_0.2.5   xfun_0.9          
##  [4] pander_0.6.3       lattice_0.20-38    colorspace_1.4-1  
##  [7] vctrs_0.2.0        generics_0.0.2     viridisLite_0.3.0 
## [10] htmltools_0.3.6    yaml_2.2.0         rlang_0.4.0       
## [13] huxtable_4.6.1     R.oo_1.22.0        pillar_1.4.2      
## [16] glue_1.3.1         withr_2.1.2        R.utils_2.9.0     
## [19] RColorBrewer_1.1-2 R.cache_0.13.0     lifecycle_0.1.0   
## [22] plyr_1.8.4         munsell_0.5.0      gtable_0.3.0      
## [25] rvest_0.3.4        R.methodsS3_1.7.1  evaluate_0.14     
## [28] labeling_0.3       Rcpp_1.0.2         scales_1.0.0      
## [31] backports_1.1.5    webshot_0.5.1      hms_0.5.1         
## [34] digest_0.6.21      stringi_1.4.3      grid_3.6.1        
## [37] tools_3.6.1        magrittr_1.5       lazyeval_0.2.2    
## [40] crayon_1.3.4       pkgconfig_2.0.3    zeallot_0.1.0     
## [43] xml2_1.2.2         data.table_1.12.2  reshape_0.8.8     
## [46] assertthat_0.2.1   httr_1.4.1         rstudioapi_0.10   
## [49] R6_2.4.0           igraph_1.2.4.1     nlme_3.1-141      
## [52] compiler_3.6.1

References

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2019. Rmarkdown: Dynamic Documents for R. https://CRAN.R-project.org/package=rmarkdown.

R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

RStudio Team. 2016. RStudio: Integrated Development Environment for R. Boston, MA: RStudio, Inc. http://www.rstudio.com/.